Senior Data Engineer

Role Overview

Designs, builds, and maintains scalable cloud-based infrastructure for data collection, processing, and storage. Collaborates with data scientists, analysts, and business stakeholders to deliver scalable solutions. Monitors and improves data infrastructure to support business needs.

What You Will Do

Develops and manages cloud-based data systems, including data lakes, data warehouses, and ETL/ELT pipelines. Builds and supports complex queries, performance tuning, and large-volume ETL workloads.

Why It Might Be a Fit

Requires 7+ years of experience in designing, building, and operating production-grade data pipelines and platforms. Expert-level SQL Server and T-SQL knowledge, and proficiency in Snowflake, Databricks, and Azure data stack.

Requirements

• BS in Computer Information Technology, Management Information Systems, or Business Information Systems
• 7+ years of experience in designing, building, and operating production-grade data pipelines and platforms
• Expert-level SQL Server and T-SQL knowledge
• Proficiency in Snowflake, Databricks, and Azure data stack
• Strong coding skills in Python and PySpark
• Experience with CI/CD pipelines via Azure DevOps or GitHub Actions

Benefits

• Regular and timely attendance
• Deal professionally and respectfully with coworkers, management and others
• Read, comprehend and follow applicable policies, procedures and directions
• Work with others as part of a team to ensure efficient operations and enhanced productivity
• Safeguard confidential information and disclose only to those in 'need-to-know' positions
• Safeguard and enhance Range's assets and business interests
• Consistently perform all job duties at an acceptable level